Environmental Science / Water and Wastewater

1- Zaji A.H., Bonakdari, H., Gharabaghi B., (2018), Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge, IEEE Transactions on Geoscience and Remote Sensing, Vol. PP, No. 99, pp. 1-10. doi: 10.1109/TGRS.2018.2799901.

 

2- Zaji A. H., Bonakdari, H., Gharabaghi B., (2018), Applying upstream satellite signals and a two-dimensional error minimization algorithm to advance early warning and management of flood water levels and river discharge, IEEE Transactions on Geoscience and Remote Sensing, Vol. PP, No. 99, pp. 1-9. doi: 10.1109/TGRS.2018.2862640.

 

3- Zaji A.H., Bonakdari, H., (2018), Robustness lake water level prediction using the search heuristic based artificial intelligence methods, ISH Journal of Hydraulic Engineering, doi: 10.1080/09715010.2018.1424568.

 

4- Zaji A.H., Bonakdari H., Gharabaghi B. (2018). Reservoir water level forecasting using group method of data handling. Acta Geophysica, Vol. 66, No. 4, pp. 717-730. doi: 10.1007/s11600-018-0168-4.

 

5- Bonakdari H., Zaji A.H., Gharabaghi B., Ebtehaj I., Moazamnia M. (2018). More accurate prediction of the complex velocity field in sewers based on uncertainty analysis using extreme learning machine technique. ISH Journal of Hydraulic Engineering, doi: 10.1080/09715010.2018.1498753.

 

6- Ebtehaj, I., Bonakdari, H., Zaji, A.H., Sharafi, H., (2018), Sensitivity analysis of parameters affecting scour depth around bridge piers based on the non-tuned, rapid extreme learning machine method, Neural Computing and Applications. DOI: 10.1007/s00521-018-3696-6.

 

7- Zaji A. H., Bonakdari, H., (2017), Discharge and flow field simulation of open channel sewer junction using artificial intelligence methods, Scientia Iranica, doi: 10.24200/SCI.2018.20695.

 

8- Moeeni H., Bonakdari H., Fatemi S. E., Zaji A. H., (2017), Assessment of Stochastic Models and a Hybrid Artificial Neural Network-Genetic Algorithm Method in Forecasting Monthly Reservoir Inflow, INAE Letters, Vol. 2, No. 1, pp. 13-23. doi: 10.1007/s41403-017-0017-9.

 

9- Ebtehaj, I., Bonakdari, H., Zaji, A.H., Bong, C.H.J., Ghani, A.A. (2016), Design of a new hybrid artificial neural network method based on decision trees for predicting the incipient motion of sediment in rigid rectangular storm water channels, Journal of Hydrology and Hydromechanics, Vol. 64, No. 3, pp. 252-260.